Returns a list of document Tax Lines

GET 
/api/v8/partner/documents/:document_id/tax-lines

Returns a list of document Tax Lines

Request

Path Parameters

document_id int64required

The unique identifier of the document.

Responses

200

A list of document Tax Lines

application/json

Schema

Schema

• Array [
order integerrequired

The arrangement of tax lines in relation to each other.

name DetailedFieldrequired

The name of the sales tax type.

score (number | null)

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score (number | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value.

rate EnrichedDetailedFloatFieldrequired
The tax rate (percentage) applied to the base amount.
enriched_value (boolean | null)
Whether the value is enriched.
score (number | null)
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score (number | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
total DetailedFloatFieldrequired
The total amount of tax charged for this particular tax line item. If the document has multiple taxes on it those taxes will be returned in the list inside the taxes field. Note there are a couple of countries in the world that have 3 decimal places after the dot.
score (number | null)
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score (number | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
base DetailedFloatFieldrequired
The base amount of the tax applied.
score (number | null)
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score (number | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
code DetailedField

The tax identification code.

score (number | null)

Possible values: <= 1

The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.

bounding_region number[]

Possible values: >= 8, <= 8

An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.

bounding_box object[]

Possible values: >= 5, <= 5

An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.

Array [

anyOf

MOD1

number

MOD2

integer

]

ocr_score (number | null)

Possible values: <= 1

The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.

rotation (integer | null)

Possible values: [0, 90, 180, 270]

The angle of rotation of the document in degrees.

value (string | null)required

Possible values: non-empty

The extracted value.

total_inclusive DetailedFloatField
The base rate + tax amount.
score (number | null)
Possible values: <= 1
The score shows how confident the model is that the predicted value belongs to the field. See confidence scores explained for more information.
bounding_region number[]
Possible values: >= 8, <= 8
An array containing (x,y) coordinates in the format [x1,y1,x2,y2,x3,y3,x4,y4]` for skewed images and handwritten fields. The bounding region is more precise than bounding box, otherwise it's the same.
bounding_box object[]
Possible values: >= 5, <= 5
An array containing relative coordinates in the format [page_number,x1,y1,x2,y2] for the extracted field from img_url before any rotation.
Array [
anyOf
MOD1
number
MOD2
integer
]
ocr_score (number | null)
Possible values: <= 1
The score which shows how confident the model in recognizing value symbols. See confidence scores explained for more information.
rotation (integer | null)
Possible values: [0, 90, 180, 270]
The angle of rotation of the document in degrees.
value (number | null)required
• ]

Example (from schema)

[
  {
    "order": 0
  }
]

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